src/runtime/NEON/functions/NEArgMinMaxLayer.cpp

/*
 * Copyright (c) 2018-2021, 2023 Arm Limited.
 *
 * SPDX-License-Identifier: MIT
 *
 * Permission is hereby granted, free of charge, to any person obtaining a copy
 * of this software and associated documentation files (the "Software"), to
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 * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
 * sell copies of the Software, and to permit persons to whom the Software is
 * furnished to do so, subject to the following conditions:
 *
 * The above copyright notice and this permission notice shall be included in all
 * copies or substantial portions of the Software.
 *
 * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
 * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
 * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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#include "arm_compute/runtime/NEON/functions/NEArgMinMaxLayer.h"

#include "arm_compute/core/Error.h"
#include "arm_compute/core/ITensor.h"
#include "arm_compute/core/TensorInfo.h"
#include "arm_compute/core/Types.h"
#include "arm_compute/core/Validate.h"
#include "arm_compute/runtime/NEON/functions/NECast.h"
#include "arm_compute/runtime/NEON/functions/NEReductionOperation.h"
#include "arm_compute/runtime/Tensor.h"
#include "src/common/utils/Log.h"
#include "src/core/NEON/kernels/NEReductionOperationKernel.h"

namespace arm_compute
{
struct NEArgMinMaxLayer::Impl
{
    MemoryGroup                           memory_group{};
    std::shared_ptr<IMemoryManager>       memory_manager{};
    std::unique_ptr<NEReductionOperation> reduction_function{};
    std::unique_ptr<NECast>               cast_function{};
    std::unique_ptr<Tensor>               tmp_reduction_result{};
};

NEArgMinMaxLayer::~NEArgMinMaxLayer() = default;

NEArgMinMaxLayer::NEArgMinMaxLayer(std::shared_ptr<IMemoryManager> memory_manager)
    : _impl(std::make_unique<Impl>())
{
    _impl->memory_manager = std::move(memory_manager);
}

void NEArgMinMaxLayer::configure(ITensor *input, int axis, ITensor *output, const ReductionOperation &op)
{
    ARM_COMPUTE_LOG_PARAMS(input, axis, output, op);
    _impl->reduction_function = std::make_unique<NEReductionOperation>();
    if(output->info() && (output->info()->data_type() == DataType::S64 || output->info()->data_type() == DataType::U64))
    {
        _impl->memory_group         = MemoryGroup(std::move(_impl->memory_manager));
        _impl->cast_function        = std::make_unique<NECast>();
        _impl->tmp_reduction_result = std::make_unique<Tensor>();
        _impl->reduction_function->configure(input, _impl->tmp_reduction_result.get(), axis, op, false);
        _impl->cast_function->configure(_impl->tmp_reduction_result.get(), output, ConvertPolicy::SATURATE);
        _impl->memory_group.manage(_impl->tmp_reduction_result.get());
        _impl->tmp_reduction_result->allocator()->allocate();
    }
    else
    {
        _impl->reduction_function->configure(input, output, axis, op, false);
    }
}

Status NEArgMinMaxLayer::validate(const ITensorInfo *input, int axis, const ITensorInfo *output, const ReductionOperation &op)
{
    ARM_COMPUTE_RETURN_ERROR_ON_MSG(op != ReductionOperation::ARG_IDX_MAX && op != ReductionOperation::ARG_IDX_MIN, "Invalid operation");
    return NEReductionOperation::validate(input, output, axis, op, false);
}

void NEArgMinMaxLayer::run()
{
    MemoryGroupResourceScope scope_mg(_impl->memory_group);
    _impl->reduction_function->run();
    if(_impl->tmp_reduction_result != nullptr)
    {
        _impl->cast_function->run();
    }
}

} // namespace arm_compute